Physiological perfusion of human vasculature reveals a YAP/TAZ-Apelin switch linking intraluminal flow to endothelial state transitions and vessel remodeling
RNA-seq (gene expression) · human · 34 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 34 samples: 14 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE318597_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1419280 and SRA study SRP674988. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 28 samples.
How we read this: 14 replicated groups read from 34 sample titles; they account for 28 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9498089 Rep1_D1_Low_Flow_1 Rep1_D1_Low_Flow
- GSM9498090 Rep1_D1_Low_Flow_2 Rep1_D1_Low_Flow
- GSM9498091 Rep1_D1_High_Flow_1 Rep1_D1_High_Flow
- GSM9498092 Rep1_D1_High_Flow_2 Rep1_D1_High_Flow
- GSM9498093 Rep1_D4_Low_Flow_1 Rep1_D4_Low_Flow
- GSM9498094 Rep1_D4_Low_Flow_2 Rep1_D4_Low_Flow
- GSM9498095 Rep1_D4_High_Flow_1 Rep1_D4_High_Flow
- GSM9498096 Rep1_D4_High_Flow_2 Rep1_D4_High_Flow
- GSM9498097 Rep1_D8_Low_Flow_1 Rep1_D8_Low_Flow
- GSM9498098 Rep1_D8_Low_Flow_2 Rep1_D8_Low_Flow
- GSM9498099 Rep1_D8_High_Flow_1 Rep1_D8_High_Flow
- GSM9498100 Rep1_D8_High_Flow_2 Rep1_D8_High_Flow
- GSM9498101 Rep2_D1_Low_Flow_1 Rep2_D1_Low_Flow
- GSM9498102 Rep2_D1_Low_Flow_2 Rep2_D1_Low_Flow
- GSM9498103 Rep2_D1_High_Flow_1 Rep2_D1_High_Flow
- GSM9498104 Rep2_D1_High_Flow_2 Rep2_D1_High_Flow
- GSM9498105 Rep2_D2_Low_Flow_1 Rep2_D2_Low_Flow
- GSM9498106 Rep2_D2_Low_Flow_2 Rep2_D2_Low_Flow
- GSM9498107 Rep2_D2_High_Flow_1 Rep2_D2_High_Flow
- GSM9498108 Rep2_D2_High_Flow_2 Rep2_D2_High_Flow
- GSM9498109 Rep2_D4_Low_Flow_1 Rep2_D4_Low_Flow
- GSM9498110 Rep2_D4_Low_Flow_2 Rep2_D4_Low_Flow
- GSM9498111 Rep2_D4_High_Flow_1 Rep2_D4_High_Flow
- GSM9498112 Rep2_D4_High_Flow_2 Rep2_D4_High_Flow
- GSM9498113 Rep2_D8_Low_Flow_1 Rep2_D8_Low_Flow
- GSM9498114 Rep2_D8_Low_Flow_2 Rep2_D8_Low_Flow
- GSM9498115 Rep2_D8_High_Flow_1 Rep2_D8_High_Flow
- GSM9498116 Rep2_D8_High_Flow_2 Rep2_D8_High_Flow
- GSM9498117 NHLFs
- GSM9498118 HBVPs
- GSM9498119 BMVECs
- GSM9498120 Day 1 (D1)
- GSM9498121 Day 4 Low Flow (D4_LF)
- GSM9498122 Day 4 High Flow (D4_HF)
- GSE318595 Physiological perfusion of human vasculature reveals a YAP/TAZ-Apelin switch linking intraluminal flow to endothelial state transitions and vessel remodeling [Bulk RNA-seq] 31 samples shares yap, physiological, intraluminal, vasculature, endothelial, transitions, taz-apelin, remodeling
- GSE296600 Isolation and immortalization of human portal vein endothelial cells: a novel research tool for investigating splanchnic vasculature 27 samples shares vasculature, endothelial
- GSE293428 Mapping Endothelial-Macrophage Interactions in Diabetic Vasculature: Role of TREM2 in Vascular Inflammation and Ischemic Response [scRNA-Seq] 18 samples shares vasculature, endothelial
- GSE317257 Mapping Endothelial-Macrophage Interactions in Diabetic Vasculature: Role of TREM2 in Vascular Inflammation and Ischemic Respons 35 samples shares vasculature, endothelial
- GSE305227 Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in Hippo-dependent cancer models [Quant-seq] 149 samples shares yap
- GSE305224 Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in Hippo-dependent cancer models [RNA-seq] 120 samples shares yap
- GSE313416 Transient proliferation by reversible YAP- and mitogen-control of the cyclin D1/p27 ratio 63 samples shares yap
- GSE259388 YAP1/TAZ knockdown in melanoma 54 samples shares yap
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.